Senior Data Engineer

Senior Data Engineer The company and our mission: Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact. Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes. With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders. We are looking for a Senior Data Engineer to work on a project in the media sector that has a strong background in ETL development and data pipeline operations. The project: Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation. We're looking for a Senior Data Engineer to help build the foundations of a new canonical data platform and progressively migrate data out of a large legacy environment. The initial role will work closely with the Lead Data Architect and Data Analysts, helping validate proposed models and mappings before turning them into production-quality pipelines and datasets. The target architecture is clear, but the detailed source data is still being discovered, so this suits someone comfortable collaborating closely with architects and analysts rather than expecting fully defined requirements upfront. What you will do: Build ingestion and transformation pipelines from existing source systems into the new platform Implement source-to-canonical mappings defined during the discovery process Develop reliable, testable and observable data pipelines Work with analysts and architects to validate assumptions about grain, keys, relationships and historical behaviour Build reusable patterns for onboarding additional datasets and feeds Implement data quality checks, reconciliation and validation between legacy and new platforms Support migration of workloads away from the existing Db2 environment Help establish engineering standards around orchestration, testing, lineage, deployment and monitoring Contribute to technical decisions around Snowflake, Iceberg, AWS and the wider lakehouse architecture What you will bring: Strong, hands-on data engineering experience, ideally gained modernising large legacy data platforms Strong SQL, plus experience with modern data pipelines and Python or a similar language Hands-on experience with orchestration frameworks such as Airflow, Prefect, dbt, or Azure Data Factory Experience with cloud storage and warehouse/lakehouse technologies Solid understanding of data modelling principles (grain, keys, relationships, historical behaviour) Experience with data quality, reconciliation and validation between systems Comfortable working where the target architecture is defined but source data is still being discovered Good communication skills and a proactive approach to collaborating with architects and analysts Nice to have: Experience with Snowflake, AWS and Iceberg Experience with Db2 migration Experience with Spark or similar distributed processing technologies Background supporting the modernisation of large, established data platforms What we offer: 100%Remote Work WFH allowance: Monthly payment as financial support for remote working. Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression. Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events. Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both. Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well. Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.